Product Engineer: AI‑Powered, Full‑Stack Builder (SF)

Highlight; San Francisco (CA); On-site; USD 150,000 - 230,000; Full time

Benefits offered by this job

Competitive salary

Equity

Health insurance

Flexible PTO

Relocation package

In-office culture in SF

Job summary

Highlight is building a shared intelligence layer for the modern workforce. We’re seeking an early-career engineer who loves building, shipping, and learning quickly. You’ll own real product problems end-to-end, work across the stack with product, design, backend, and ML, and ship features that help users move fast.

This on-site role requires five days a week in our San Francisco office. We value curiosity, practical demonstrations of learning new tech, and ownership of outcomes.

Qualifications

• 2-4 years of software engineering experience or equivalent
• Strong fundamentals with clean, maintainable code
• Built and shipped things outside of day job (side projects, open-source, apps)

Responsibilities

• Build and ship product features across the stack, from user-facing experiences to backend systems
• Work with product and design to understand user problems and turn ideas into useful experiences
• Own meaningful pieces of the product end-to-end: understand, propose, build, measure, iterate
• Work with AI/ML systems to create experiences that understand context and help users
• Contribute across areas like context storage/retrieval, desktop experiences, integrations, AI-powered workflows
• Learn new technologies and parts of the stack as needed
• Help build engineering practices and systems for a small, fast-moving team

Skills

2-4 years experience

Strong fundamentals

Open-source projects

Curious learner

End-to-end ownership

Tools

React

TypeScript

Python

Job description

Highlight is building a shared intelligence layer for the modern workforce. We’re seeking an early-career engineer who loves building, shipping, and learning quickly. You’ll own real product problems end-to-end, work across the stack with product, design, backend, and ML, and ship features that help users move fast.

This on-site role requires five days a week in our San Francisco office. We value curiosity, practical demonstrations of learning new tech, and ownership of outcomes.